{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "## 基本使用"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "\n",
    "# matplotlib.use('TkAgg')   # 在命令行中运行添加该行代码\n",
    "# 示例数据\n",
    "x = [1, 2, 3, 4, 5]  # X轴数据\n",
    "y = [2, 3, 5, 7, 11]  # Y轴数据\n",
    "\n",
    "# 创建折线图\n",
    "plt.plot(x, y, marker='o')\n",
    "\n",
    "# 添加标题和标签\n",
    "plt.title('basic')  # 图表标题\n",
    "plt.xlabel('X')  # X轴标签\n",
    "plt.ylabel('Y')  # Y轴标签\n",
    "\n",
    "# 显示网格\n",
    "plt.grid(True)\n",
    "\n",
    "# 显示图形\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [
    {
     "data": {
      "text/plain": "'3.10.0'"
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matplotlib.__version__"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}